Luma AI
Simulation Researcher/Engineer
Redwood City, CA · Hybrid · Full-time · Posted Jul 24, 2026
- Education
- Strong background in robotics simulation, computer graphics, physics-based modeling, or generative 3D, by degree or practical record.
About the job
Build scalable hybrid simulation environments and evaluation tools that use generative models and physics engines to train general-purpose robot policies.
What you'll do
- Design visually rich, physically plausible simulation environments and build evaluation harnesses for world models.
- Develop differentiable and GPU-accelerated simulation pipelines and asset, scene, and task generation pipelines.
- Collaborate with world-model and policy-learning researchers.
What they ask for
- Strong background in robotics simulation, computer graphics, physics-based modeling, or generative 3D, by degree or practical record.
- Fluency in Python and C++.
- Deep familiarity with at least one production physics engine: Isaac Sim/Lab, MuJoCo, Bullet, PhysX, or Drake.
- Track record building simulation systems other people used.
Nice to have
- Research on sim-to-real transfer, domain randomization, differentiable simulation, or neural-rendering-based simulation; or a game engine, CGI, animation, or photogrammetry background.
- Publications at top venues (CoRL, RSS, ICRA, NeurIPS, SIGGRAPH).
Tools
Python, C++, Isaac Sim/Lab, MuJoCo, Bullet, PhysX, Drake
AI focus
Use generative video and 3D models alongside physics simulation to build environments, generate training data, and evaluate world models for robot-policy training.
Model-written summary · the original posting is authoritative